g-assismoraes/DeltaP2S-Qwen2.5-14B-SameFormula-Code-S13
DeltaP2S-Qwen2.5-14B-SameFormula-Code-S13 is a 14.8 billion parameter language model based on the Qwen2.5 architecture, specifically fine-tuned from Qwen/Qwen2.5-14B. This model is a product of the Qwen-aware Delta-P2S experiment package, indicating a specialized training approach. It is designed for tasks related to code, leveraging its Qwen2.5 foundation and a substantial 32768 token context length.
Loading preview...
Model Overview
This model, DeltaP2S-Qwen2.5-14B-SameFormula-Code-S13, is a 14.8 billion parameter language model derived from the Qwen2.5-14B base architecture. It was developed as part of the Qwen-aware Delta-P2S experiment package, suggesting a focused and experimental training methodology.
Key Characteristics
- Base Model: Fine-tuned from
Qwen/Qwen2.5-14B. - Parameter Count: 14.8 billion parameters, offering a balance of capability and computational requirements.
- Context Length: Features a substantial 32768 token context window, enabling processing of longer inputs and generating more extensive outputs.
- Training Origin: Produced through a specific training run identified as
./runs/codeqwen_SameFormula-S13/train/large_baseline, indicating a specialized training regimen.
Intended Use Cases
Given its origin from a "codeqwen" training run and the "SameFormula-Code" in its name, this model is likely optimized for:
- Code Generation: Generating programming code snippets or full functions.
- Code Understanding: Analyzing, explaining, or summarizing existing code.
- Code Debugging: Assisting in identifying and suggesting fixes for code errors.
- Software Development Tasks: General tasks within the software development lifecycle that benefit from a large language model with code-specific training.